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Artificial Intelligence Machine Learning Engineer Jobs in Spring, TX

Bespoke Labs

Machine Learning Engineer

Houston, TX · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Beth Page tech

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

Senior Machine Learning Engineer Location: Houston, TX Environment: Standard, 5-days onsite : Must-Have (Technical Expertise & Core Responsibilities) * Deep Neural Networks (DNN): * Hands-on ...

Diablo Convoy

AI Automation Analyst

Spring, TX · On-site

$130K - $150K/yr

Foundational knowledge of artificial intelligence, machine learning concepts, and AI tools * Hands ... Basic understanding of prompt engineering and structured prompting techniques * Strong written ...

Lamons

Business Intelligence Analyst

Houston, TX · On-site

... programming, APIs, and emerging AI technologies is preferred. • Coursework or certification in Business Intelligence, Data Analytics, Artificial Intelligence, Machine Learning, or Data ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Spring, TX

Artificial Intelligence Machine Learning Engineer information

See Spring, TX salary details

$28K

$114.6K

$172.2K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for artificial intelligence machine learning engineer in Spring, TX is $114,590.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,300.00 and $137,900.00 per year, depending on experience, location, and employer.

What is an Artificial Intelligence Machine Learning Engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by Artificial Intelligence Machine Learning Engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Machine Learning Engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Spring, TX? For Artificial Intelligence Machine Learning Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Spring, TX look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities near Spring, TX with the most Artificial Intelligence Machine Learning Engineer job openings:
Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Spring, TX as of July 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $114,590 per year, or $55.1 per hour.

Senior Artificial Intelligence Engineer

Covestro AG

Baytown, TX • On-site

$95K - $130K/yr

Full-time

Posted 4 days ago

Job description

We are Covestro. We are curious. We are courageous. We are colorful. We refine chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 18,000 colleagues now and together we will make the world a brighter place.
The Senior Artificial Intelligence (AI) Engineer designs, develops, and deploys artificial intelligence solutions across the organization. This role bridges the gap between theoretical AI/ML models and production-ready applications, ensuring scalability, reliability, and business value. Working closely with data science teams, the Senior AI Engineer transforms innovative concepts into robust, enterprise-grade AI systems that drive Covestro's digital transformation.
Major Tasks and Responsibilities
AI Solution Development & Integration
  • Engineer and deploy AI and machine learning models into production environments
  • Design and implement comprehensive MLOps and AIOps pipelines for model lifecycle management
  • Create monitoring systems to detect model drift and implement automated retraining mechanisms

Infrastructure & Architecture
  • Architect scalable AI solutions leveraging cloud and edge computing technologies
  • Develop and maintain microservice architectures supporting AI deployments
  • Implement data pipelines to support training and inference needs across diverse data types

Collaboration & Innovation
  • Partner with data scientists and Generative AI Engineers to optimize model performance and deployment efficiency
  • Work cross-functionally with business stakeholders to align AI solutions with business needs
  • Evaluate and incorporate emerging AI technologies to maintain competitive advantage

Business Impact
  • Drive business value by successfully integrating AI capabilities into Covestro's core processes
  • Accelerate digital transformation through automated, intelligent solutions that enhance efficiency and innovation
  • Enable data-driven decision making by making AI accessible and reliable for business users

Basic Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or related technical field with 7+ years' experience; OR Master's degree in in Computer Science, Software Engineering, or related technical field with 5+ years experience; OR PhD with 3+ years experience
  • 3+ years of experience in AI/ML engineering, with demonstrated success in production AI systems
  • Experience with modern AI frameworks

Knowledge and Skills
  • Strong expertise in containerization and cloud platforms
  • Proficiency with data processing technologies) and database systems
  • Programming expertise in Python and familiarity with other languages
  • Strong problem-solving skills and ability to translate business requirements into technical solutions
  • Excellent communication skills with ability to explain complex technical concepts to diverse audiences
  • Adaptability to work in a fast-paced environment with evolving technologies and requirements
  • Willingness to travel occasionally for collaboration purposes

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YOUR APPLICATION
Are you as curious, courageous and colorful as we are? If so, we can offer you an exciting career opportunity. We look forward to receiving your application and resume. Become part of our team - apply now!
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